An open API service providing repository metadata for many open source software ecosystems.

Topic: "riemannian-manifold"

geoopt/geoopt

Riemannian Adaptive Optimization Methods with pytorch optim

Language: Python - Size: 1.5 MB - Last synced at: 13 days ago - Pushed at: about 1 month ago - Stars: 952 - Forks: 89

kthohr/mcmc

A C++ library of Markov Chain Monte Carlo (MCMC) methods

Language: C++ - Size: 217 KB - Last synced at: 1 day ago - Pushed at: over 1 year ago - Stars: 181 - Forks: 48

adavoudi/spdnet

Implementation of Deep SPDNet in pytorch

Language: Python - Size: 51.8 KB - Last synced at: 4 months ago - Pushed at: almost 2 years ago - Stars: 64 - Forks: 11

hiroyuki-kasai/RSOpt

Riemannian stochastic optimization algorithms: Version 1.0.3

Language: MATLAB - Size: 7.62 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 51 - Forks: 19

baggepinnen/SpectralDistances.jl

Measure the distance between two spectra/signals using optimal transport and related metrics

Language: Julia - Size: 260 MB - Last synced at: 2 days ago - Pushed at: 29 days ago - Stars: 47 - Forks: 5

basiralab/RegGNN

Regression Graph Neural Network (regGNN) for cognitive score prediction.

Language: Python - Size: 4.06 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 33 - Forks: 12

sylvchev/riemannianPCA

Dimensionality reduction on manifold of SPD matrices, based on pymanopt implementation

Language: Python - Size: 12.7 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 0

redst4r/riemannian_latent_space

Riemannian metrics to measure distances in latent space of VAEs

Language: Python - Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 12 - Forks: 3

shu-hai/SA_DNN

Sensitivity Analysis of Deep Neural Networks (AAAI-19 paper)

Language: Python - Size: 14.8 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 5

hiroyuki-kasai/Subsampled-RTR

Subsampled Riemannian trust-region (RTR) algorithms

Language: MATLAB - Size: 4.95 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 5

cristian-barbarosie/manifem

C++ library for meshes and finite elements on manifolds

Language: C++ - Size: 1.36 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 1

cazhang/shellGCA

Matlab implementation of paper "Principal Geodesic Analysis in the Space of Discrete Shells", SGP-2018

Language: MATLAB - Size: 81.4 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 1

bghojogh/LBFGS-Vector-Transport-Free

The code for vector transport free LBFGS quasi-Newton's optimization on the Riemannian manifolds

Language: MATLAB - Size: 13.3 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 1

dnguyend/par-trans

A package providing tractable examples of parallel transport for several matrix manifolds

Language: Python - Size: 5.86 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

wmg9721204/My-Notes

Notes prepared for seminars, compiled from books, or taken in classes are included in this repository. There might be some notes prepared by other seminar participants, which are labelled accordingly.

Language: Jupyter Notebook - Size: 280 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 2

Eason-Bao/Gr-RMLHSR

GitHub repository for ”Learning a Discriminative Grassmannian Neural Network for Visual Classification“

Language: Python - Size: 367 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

ffancheng/kderm

Distortion-corrected kernel density estimate on Riemannian manifolds

Language: HTML - Size: 357 MB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

mrparker909/MGLMRiem

Implementing the algorithms of Kim et al. 2014 for regressing multiple symmetric positive definite matrices against real valued covariates.

Language: R - Size: 177 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

IssamLaradji/MASAGA

Official code for MASAGA

Language: Python - Size: 5.65 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 2

Va-Ns/Automated-Signature-Verification-of-CEDAR-using-the-Tangent-Space-and-the-SPD-Riemannian-Manifold

This project aims at capturing the fidelity presented by the schematic of the use of the logarithmic mapping: an intuitive form of subtraction between two points in the SPD Riemannian Manifold.

Language: MATLAB - Size: 40.2 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Deceptrax123/LGIN

Official code of our paper "LGIN: Defining an Approximately Powerful Hyperbolic GNN"accepted at GRADES NDA as a part of ACM SIGMOD

Language: Python - Size: 2.49 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

UniversumX/GeodesicLearningPathways

Using hiearchical information geometric structures from neuroimaging analysis to inform curriculum design for generative reconstruction and MVPA

Language: Python - Size: 10.7 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Benoit-Muller/PDM

Master project: Bures-Wasserstein barycenters

Language: MATLAB - Size: 45.1 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

AxelGiottonini/GeomLayers

Geometrical Layers for Pytorch Neural Networks

Language: Python - Size: 10.7 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Cirdans-Home/pth-root-stochastic

Algorithms for the approximation of an embedding for Markov chains.

Language: MATLAB - Size: 88.9 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sirmurphalot/GFI_onManifolds

Code implementations of the methods discussed in Generalized Fiducial Inference on Differentiable Manifolds by A. Murph, J. Hannig, and J. Williams.

Language: MATLAB - Size: 227 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Benoit-Muller/opti-manifolds-GMM

MATH-512 Optimization on Manifolds Spring 2023 Project 1: Gaussian Mixture Models

Language: MATLAB - Size: 1.23 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

sakshamjindal/optimised-orientation-tracking

Optimised Orientation Tracking using Riemann Stochastic Gradient Descent (RSGD)

Language: Jupyter Notebook - Size: 35 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Hideki105/riemannian-optimization

リーマン多様体上の最適化

Language: Python - Size: 24.1 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

ManuOtel/Impedance-Encoding-UR5 Fork of PabloDavidAR/encode-task-impedance-from-demonstration

Project in Advanced Robotics course project at SDU 21/22. Implementation of learning method for skills for arm robots based on GMM with Rieamannian Manifolds

Language: Jupyter Notebook - Size: 41.8 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

reddeadrecovery/facestretch

In facestretch we describe how we exploited the dlib’s facial landmarks in order to measure face deformation and perform an expression recognition task. We implemented multiple approaches, based metric learning, neural networks and geodesic distances

Last synced at: almost 3 years ago - Stars: 0 - Forks: 0

Related Topics
riemannian-optimization 8 riemannian-geometry 6 optimization 5 pytorch 3 deep-learning 3 optimization-algorithms 3 stochastic-gradient-descent 2 stochastic-optimizers 2 big-data 2 statistical-learning 2 manifold 2 symmetric-positive-definite 2 metric-learning 2 barycenter 2 spd-manifold 2 manifold-optimization 2 glm 1 numerical-methods 1 numerical-linear-algebra 1 in-progress 1 r 1 regression-algorithms 1 anomaly-detection 1 dimension 1 kernel-density-estimation 1 manifold-learning 1 spectrum 1 markov-chain 1 spdnet 1 mcmc-methods 1 fiducial-inference 1 sensitivity-analysis 1 robustness 1 deep-neural-networks 1 robotics 1 projected-gradient-desent 1 orientation-tracking 1 optimisation 1 stimuli-reconstruction 1 neuroimaging 1 mvpa 1 geodesics 1 generative-ai 1 wasserstein-distance 1 armadillo 1 automatic-differentiation 1 cpp 1 cpp11 1 de 1 differential-evolution 1 eigen 1 eigen3 1 hamiltonian-monte-carlo 1 hmc 1 langevin-diffusion 1 mala 1 markov-chain-monte-carlo 1 mcmc 1 metropolis-hastings 1 gnns 1 computer-vision 1 dimensionality-reduction 1 bures-wasserstein 1 semi-definite-programming 1 covariance 1 eeg 1 pca 1 pymanopt 1 barycentric-coordinates 1 dynamic-frequency-warping 1 dynamic-time-warping 1 earth-movers-distance 1 histogram 1 linear-systems 1 metrics 1 optimal-transport 1 spectral-analysis 1 spectral-embedding 1 surface-modeling 1 surface 1 riemann 1 partial-differential-equations 1 meshing 1 mesh-generation 1 mesh 1 library 1 finite-elements 1 finite-element-method 1 cplusplus 1 vae 1 ur-robot 1 learning-from-demonstration 1 impedance-control 1 gmm-gmr 1 topological-data-analysis 1 theoretical-statistics 1 stochastic-processes 1 stochastic-differential-equations 1 stochastic-calculus 1 probability-theory-measure-based 1